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EN
Lyngbya aestuarii, one of the dominant cyanobacterium grows in different salinity gradients of Chilika lagoon. It was isolated in axenic culture and its ecophysiology with response to different concentrations of salinity was studied in vitro to understand its adaptation strategies in the changing salinities of the lagoon. Changes in morphological features of the organism were observed with salinity gradients higher than 28 g/L and lower than 14 g/L salinity. Increase in growth was accompanied by increase of chlorophyll-a, carotenoid and cell protein contents of the organism from 3.5 to 28 g/L. Cellular carbohydrate content was higher with increasing salinity of the medium up to 90 g/L. No detrimental effect on pigment synthesis and macromolecular content of the organism was observed at the salinity level ranging from 7 to 56 g/L salinity. Methanolic extract of L. aestuarii showed prominent absorption at 334 nm in the UV-B region of the spectrum due to mycosporine-like amino acid (MAA) and the quantity of MAA increased with increasing salinity. At 7 g/L salinity 150, 93, 58, 34 and 18 kDa proteins were up-regulated; however, at 14 g/L 37, 26 and 28 kDa proteins and in 0, 3.5 and 90 g/L 122, 32 and 20 kDa proteins were repressed; this shows similarities of salinity-induced protein modifications as observed in higher plants. Super oxide dismutase activity also increased in the cells grown at 56 g/ L salinity. We conclude because of having these effective adaptation strategies, L. aestuarii cope very well with the changing salinity in different seasons and grows well in the different sectors of the lagoon.
EN
India is an immense medicinal plant repository, used in traditional medical treatments. The use of herbal medicine is growing day by day due to toxicity and allopathic drug effects. About 90 percent of the phytochemicals marketed come from wild resources and over 120 major phytochemistry come from plants. Aegle marmelos leaves contained π-sitosterol, aegelin, lupeol, rutin, marmesinine, flavone, glycoside, Oisopentenyl halfordiol, marmeline, and phenylethyl cinnamides. The additional growth promoters show its effect on tissue culture of plant.
EN
In this communication, the ciprofloxacin-trimethoprim (Cp-Tm) combination showed synergistic (Fractional Inhibitory Concentration, FIC index 0.399) and additive (FIC index 0.665-0.83) effects against Vibrio cholerae O1 biotype El Tor serotype Ogawa isolates having Cp MICs 10 μg/ml and Cp 0.66 μg/ml, respectively, following agar dilution checkerboard method. The time-kill study results demonstrated synergy between Cp and Tm against both groups of isolates providing 2.04 log₁₀ (for strain with Cp MIC 0.66 μg/ml) and 3.12 log₁₀ (for strain with Cp MIC 10 μg/ml) decreases in CFU/ml between the combination and its most active compound. Thus, the findings of the present study suggest an introduction of Cp-Tm combination treatment regimen against drug resistant cholera and this in turn will help in combating the drug resistance of V. cholerae O1 biotype El Tor serotype Ogawa.
EN
Binarisation methods already reported are inadequate for binarisation of complex documents such as maps due to large intensity variations across the regions and entangled texts with lines representing borders, rivers, roads and similar other components. This paper proposes a new binarisation technique for coloured land map images by extracting the regions and analysing the hue, saturation spread and within class kurtosis. This is a region-wise adaptive algorithm to cope up with the sharp changes of the discriminating features across different regions. Here, local regions are selected as clusters having the same hue and saturation. The regions are individually binarised using the spread of their degree of within class kurtosis and finally combined together. The regions extracted are further utilised for stitching of map documents which contain some portion in common. We use a simple greedy technique using correlation matching to join two or more map images such that information from both can be viewed and compared. Our experiments include 446 colour maps from the map image database created for this purpose and made freely available at website. This work is an extended version of our previous work on map image binarisation [1].
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EN
Research on document image analysis is actively pursued in the last few decades and services like OCR, vectorization of drawings/graphics and various types of form processing are very common. Handwritten documents, old historical documents and documents captured through camera are now being the subjects of active research. However, another very important type of paper document, namely the map document image processing research suffers due to the inherent complexities of the map document and also for nonavailability of benchmark public data-sets. This paper presents a new data-set, namely, the Land Map Image Database (LMIDb) that consists of a variety of land maps images (446 images at present and growing; scanned at 200/300 dpi in TIF format) and the corresponding ground-truth. Using semiautomatic tools non-text part of the images are deleted and the text-only ground-truth is also kept in the database. This paper also presents a classification strategy for map images using which the maps in the database are automatically classified into Political (Po), Physical (Ph), Resource (R) and Topographic (T) maps. The automatic classification of maps help indexing of the images in LMIDb for archival and easy retrieval of the right maps to get the appropriate geographical information. Classification accuracy is also tested on the proposed data-set and the result is encouraging.
EN
Stroke is one of the major causes behind the increased mortality rate throughout the world and disability among the survivors. Such disabilities include several grasp and grip related impairment in daily activities like holding a glass of water, counting currency notes, producing correct signature in bank, etc., that seek serious attention. Present therapeutic facilities, being expensive and time-consuming, fail to cater the poverty stricken rural class of the society. In this paper, on the basis of an investigation, we developed a smart data glove based diagnostic device for better treatment of such patients by providing timely estimation of their grasp quality. Data collected from a VMG30 motion capture glove for six patients who survived stroke and two other healthy subjects was fused with suitable hypothesis obtained from a domain expert to reflect the required outcome on a Bayesian network. The end result could be made available to a doctor at a remote location through a smart phone for further advice or treatment. Results obtained clearly distinguished a patient from a healthy subject along with supporting estimates to study and compare different grasping gestures. The improvement in mobility could be assessed after physiotherapeutic treatments using the proposed method.
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